PAVLIN, Robert ;MARKIČ, Mirko ;PUŠAVEC, Franci ;JANEŠ, Aleksander .
Business and Technological Process Optimization in Automotive Manufacturing.
Articles in Press, [S.l.], v. 0, n.0, p. , march 2026.
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/>. Date accessed: 20 apr. 2026.
doi:http://dx.doi.org/.
Pavlin, R., Markič, M., Pušavec, F., & Janeš, A.
(0).
Business and Technological Process Optimization in Automotive Manufacturing.
Articles in Press, 0(0), .
doi:http://dx.doi.org/
@article{.,
author = {Robert Pavlin and Mirko Markič and Franci Pušavec and Aleksander Janeš},
title = {Business and Technological Process Optimization in Automotive Manufacturing},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
keywords = {business and technological processes (BTP); key performance indicators (KPIs); critical process capability (Cpk); overall equipment effectiveness (OEE); return on investment (ROI); Process Management (PM); },
abstract = {This study presents the development and validation of an integrated monitoring model designed to optimize manufacturing processes in the automotive industry. The model combines technological and business performance indicators, focusing on process capability, equipment effectiveness, and financial return. The research was conducted in a production environment for automotive daytime running lights, with a strong emphasis on real-time measurement, automated data collection, and structured process optimization. A multi-phase implementation strategy was applied, transitioning from manual to fully automated measurement systems. Over 1,400 measurements were collected across key production operations, with data processed according to international standards for process analysis. Statistical methods, including correlation and regression analysis, were used to explore the relationships between process stability, operational performance, and investment outcomes. The findings demonstrate that systematic optimization resulted in improved product quality, reduced variability, and enhanced equipment reliability. Notably, equipment effectiveness increased from 78.36% to 85.41%, while the financial return more than doubled, rising from €2.9 million to nearly €8 million. A significant correlation was observed between process capability and financial performance, highlighting the practical value of integrating technical and economic metrics. The proposed model supports continuous improvement initiatives by enabling precise monitoring of production systems. It offers a scalable and transferable approach for enhancing manufacturing efficiency and decision-making in complex industrial settings.},
issn = {0039-2480}, pages = {}, doi = {},
url = {https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/}
}
Pavlin, R.,Markič, M.,Pušavec, F.,Janeš, A.
0 March 0. Business and Technological Process Optimization in Automotive Manufacturing. Articles in Press. [Online] 0:0
%A Pavlin, Robert
%A Markič, Mirko
%A Pušavec, Franci
%A Janeš, Aleksander
%D 0
%T Business and Technological Process Optimization in Automotive Manufacturing
%B 0
%9 business and technological processes (BTP); key performance indicators (KPIs); critical process capability (Cpk); overall equipment effectiveness (OEE); return on investment (ROI); Process Management (PM);
%! Business and Technological Process Optimization in Automotive Manufacturing
%K business and technological processes (BTP); key performance indicators (KPIs); critical process capability (Cpk); overall equipment effectiveness (OEE); return on investment (ROI); Process Management (PM);
%X This study presents the development and validation of an integrated monitoring model designed to optimize manufacturing processes in the automotive industry. The model combines technological and business performance indicators, focusing on process capability, equipment effectiveness, and financial return. The research was conducted in a production environment for automotive daytime running lights, with a strong emphasis on real-time measurement, automated data collection, and structured process optimization. A multi-phase implementation strategy was applied, transitioning from manual to fully automated measurement systems. Over 1,400 measurements were collected across key production operations, with data processed according to international standards for process analysis. Statistical methods, including correlation and regression analysis, were used to explore the relationships between process stability, operational performance, and investment outcomes. The findings demonstrate that systematic optimization resulted in improved product quality, reduced variability, and enhanced equipment reliability. Notably, equipment effectiveness increased from 78.36% to 85.41%, while the financial return more than doubled, rising from €2.9 million to nearly €8 million. A significant correlation was observed between process capability and financial performance, highlighting the practical value of integrating technical and economic metrics. The proposed model supports continuous improvement initiatives by enabling precise monitoring of production systems. It offers a scalable and transferable approach for enhancing manufacturing efficiency and decision-making in complex industrial settings.
%U https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/
%0 Journal Article
%R
%&
%P 1
%J Articles in Press
%V 0
%N 0
%@ 0039-2480
%8 2026-03-03
%7 2026-03-03
Pavlin, Robert, Mirko Markič, Franci Pušavec, & Aleksander Janeš.
"Business and Technological Process Optimization in Automotive Manufacturing." Articles in Press [Online], 0.0 (0): . Web. 20 Apr. 2026
TY - JOUR
AU - Pavlin, Robert
AU - Markič, Mirko
AU - Pušavec, Franci
AU - Janeš, Aleksander
PY - 0
TI - Business and Technological Process Optimization in Automotive Manufacturing
JF - Articles in Press
DO -
KW - business and technological processes (BTP); key performance indicators (KPIs); critical process capability (Cpk); overall equipment effectiveness (OEE); return on investment (ROI); Process Management (PM);
N2 - This study presents the development and validation of an integrated monitoring model designed to optimize manufacturing processes in the automotive industry. The model combines technological and business performance indicators, focusing on process capability, equipment effectiveness, and financial return. The research was conducted in a production environment for automotive daytime running lights, with a strong emphasis on real-time measurement, automated data collection, and structured process optimization. A multi-phase implementation strategy was applied, transitioning from manual to fully automated measurement systems. Over 1,400 measurements were collected across key production operations, with data processed according to international standards for process analysis. Statistical methods, including correlation and regression analysis, were used to explore the relationships between process stability, operational performance, and investment outcomes. The findings demonstrate that systematic optimization resulted in improved product quality, reduced variability, and enhanced equipment reliability. Notably, equipment effectiveness increased from 78.36% to 85.41%, while the financial return more than doubled, rising from €2.9 million to nearly €8 million. A significant correlation was observed between process capability and financial performance, highlighting the practical value of integrating technical and economic metrics. The proposed model supports continuous improvement initiatives by enabling precise monitoring of production systems. It offers a scalable and transferable approach for enhancing manufacturing efficiency and decision-making in complex industrial settings.
UR - https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/
@article{{}{.},
author = {Pavlin, R., Markič, M., Pušavec, F., Janeš, A.},
title = {Business and Technological Process Optimization in Automotive Manufacturing},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
doi = {},
url = {https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/}
}
TY - JOUR
AU - Pavlin, Robert
AU - Markič, Mirko
AU - Pušavec, Franci
AU - Janeš, Aleksander
PY - 2026/03/03
TI - Business and Technological Process Optimization in Automotive Manufacturing
JF - Articles in Press; Vol 0, No 0 (0): Articles in Press
DO -
KW - business and technological processes (BTP), key performance indicators (KPIs), critical process capability (Cpk), overall equipment effectiveness (OEE), return on investment (ROI), Process Management (PM),
N2 - This study presents the development and validation of an integrated monitoring model designed to optimize manufacturing processes in the automotive industry. The model combines technological and business performance indicators, focusing on process capability, equipment effectiveness, and financial return. The research was conducted in a production environment for automotive daytime running lights, with a strong emphasis on real-time measurement, automated data collection, and structured process optimization. A multi-phase implementation strategy was applied, transitioning from manual to fully automated measurement systems. Over 1,400 measurements were collected across key production operations, with data processed according to international standards for process analysis. Statistical methods, including correlation and regression analysis, were used to explore the relationships between process stability, operational performance, and investment outcomes. The findings demonstrate that systematic optimization resulted in improved product quality, reduced variability, and enhanced equipment reliability. Notably, equipment effectiveness increased from 78.36% to 85.41%, while the financial return more than doubled, rising from €2.9 million to nearly €8 million. A significant correlation was observed between process capability and financial performance, highlighting the practical value of integrating technical and economic metrics. The proposed model supports continuous improvement initiatives by enabling precise monitoring of production systems. It offers a scalable and transferable approach for enhancing manufacturing efficiency and decision-making in complex industrial settings.
UR - https://www.sv-jme.eu/sl/article/business-and-technological-process-optimization-in-automotive-manufacturing/
Pavlin, Robert, Markič, Mirko, Pušavec, Franci, AND Janeš, Aleksander.
"Business and Technological Process Optimization in Automotive Manufacturing" Articles in Press [Online], Volume 0 Number 0 (03 March 2026)
